Metric dimension reduction modulus for superlogarithmic distortion

Fuente: arXiv
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Hauptverfasser: Altschuler, Dylan J., Tikhomirov, Konstantin
Format: Preprint
Veröffentlicht: 2025
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author Altschuler, Dylan J.
Tikhomirov, Konstantin
author_facet Altschuler, Dylan J.
Tikhomirov, Konstantin
contents The metric dimension reduction modulus $k^α_n(\ell_\infty)$ is the smallest $k$ such that every $n$--point metric space can be embedded into some $k$-dimensional normed space, with bi--Lipschitz distortion at most $α$. Determining sharp asymptotics for $k^α_n(\ell_\infty)$ is a fundamental task in metric geometry, with $α=Θ(\log n)$ bearing particular interest. A line of advances over the past decades has led to an upper bound on $k^α_n(\ell_\infty)$ for $α= Ω(\log n)$, but a matching lower bound has remained open. We close this gap, establishing: for every fixed $β> 0$, $$ k^α_n(\ell_\infty) =Θ\bigg(\frac{\log n}{\log(\fracα{\log n}+1)}\bigg)\quad \mbox{for every $α\geq β\log n$}. $$ This resolves a question from Naor's 2018 ICM plenary lecture. Our result is obtained by characterizing the minimum dimension $d$ for which, with high probability, a random regular graph admits an $α$--embedding into some $d$--dimensional normed space.
format Preprint
id arxiv_https___arxiv_org_abs_2507_02785
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Metric dimension reduction modulus for superlogarithmic distortion
Altschuler, Dylan J.
Tikhomirov, Konstantin
Metric Geometry
Combinatorics
Functional Analysis
The metric dimension reduction modulus $k^α_n(\ell_\infty)$ is the smallest $k$ such that every $n$--point metric space can be embedded into some $k$-dimensional normed space, with bi--Lipschitz distortion at most $α$. Determining sharp asymptotics for $k^α_n(\ell_\infty)$ is a fundamental task in metric geometry, with $α=Θ(\log n)$ bearing particular interest. A line of advances over the past decades has led to an upper bound on $k^α_n(\ell_\infty)$ for $α= Ω(\log n)$, but a matching lower bound has remained open. We close this gap, establishing: for every fixed $β> 0$, $$ k^α_n(\ell_\infty) =Θ\bigg(\frac{\log n}{\log(\fracα{\log n}+1)}\bigg)\quad \mbox{for every $α\geq β\log n$}. $$ This resolves a question from Naor's 2018 ICM plenary lecture. Our result is obtained by characterizing the minimum dimension $d$ for which, with high probability, a random regular graph admits an $α$--embedding into some $d$--dimensional normed space.
title Metric dimension reduction modulus for superlogarithmic distortion
topic Metric Geometry
Combinatorics
Functional Analysis
url https://arxiv.org/abs/2507.02785